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Field
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the modeling of both shared and data type-specific variability. By doing so, it provides insights into the regulatory mechanisms underlying cancer. The research will leverage a large in-house dataset from iCAN
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and calibration of reports from various sources. Collect and analyse large-scale cross-industry accident data using FRAM (Functional Resonance Analysis Method) within LLMs to identify human-, technical
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to the in-situ field measurements at Itatinga. The Ecotron experiments are not part of the postdoctoral work and will be made by a French PhD student. Combining data from Eucalyptus stands and
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experiments Documented expertise in data analysis using scripting (ideally python-based) Experience carrying out SAXS/WAXS experiments at large scale facilities Working experience with soft matter and/or
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care actually happens, and how it can be made better. This is a role for someone who’s excited to work with big, messy, real-world data — and who wants to do more than just build models. We’re looking
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(Compute Data) Efficient at working with large datasets and synthesizing scientific literature Project management Self-motivated and deliverable-oriented Ability to work both independently and as part of
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institutions has received funding from the European Commission (Horizon Europe) for a large-scale, multi-disciplinary research project on the future world of work and social protection in Europe. TransEuroWorkS
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Computational Methods for Advanced Research to Transform Biomedicine ( SMARTbiomed ), an international collaboration that integrates large-scale, multimodal biomedical data with advances in statistical and
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novel in-situ testing methodologies to observe deformation mechanisms at micro/nano scales. Data Acquisition and Analysis 25% Operate and maintain advanced experimental equipment, including but not
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two PhD students in the groups, and your newly developed tools will support the analysis and interpretation of their data. You will interact strongly with several international collaborators, both